Current Opinion in Solid State & Materials Science最新文献

{"title":"Structures, energetics, and dynamics of active tubulin self-organization","authors":"Uri Raviv","doi":"10.1016/j.cossms.2025.101219","DOIUrl":"10.1016/j.cossms.2025.101219","url":null,"abstract":"<div><div>Microtubules (MTs) are one of the major components of the cytoskeleton. They are involved in many key functions of eukaryotic cells, including cell division, intracellular transport, cell motility, and cell shape. MTs are hollow tubules made of parallel filaments, formed by active (non-equilibrium) self-organization of tubulin dimers. The dynamic self-organization of tubulin is facilitated by the GTPase activity of tubulin. Tubulin self-assembles with microtubule-associated proteins (MAPs) and other factors into a wide range of morphologies, including tubulin rings, MT bundles, and the spindle apparatus, segregating chromosomes during cell division. In this review, we shall discuss recent insight into the intimate link between tubulin -biochemistry, -structure, -interactions, -dynamics, -stability, -assembly, -disassembly, and -mechanical properties. We shall then focus on recent time-resolved solution X-ray scattering analysis of tubulin self-organization below and above the critical conditions for microtubule assembly. Finally, we shall discuss some of the challenging multiscale unsolved problems requiring the integration of different experimental and theoretical methods. Microtubule formation is an important target for drugs to treat conditions like gout and a wide range of cancers. Understanding the polymerization mechanism could help in the design of future drugs and in the development of active biomaterials that promote the remodeling or regeneration of tissue after disease or injury.</div></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"36 ","pages":"Article 101219"},"PeriodicalIF":12.2,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From high-entropy alloys to alloys with high entropy: A new paradigm in materials science and engineering for advancing sustainable metallurgy","authors":"Jose M. Torralba ,&nbsp;Alberto Meza ,&nbsp;S. Venkatesh Kumaran ,&nbsp;Amir Mostafaei ,&nbsp;Ahad Mohammadzadeh","doi":"10.1016/j.cossms.2025.101221","DOIUrl":"10.1016/j.cossms.2025.101221","url":null,"abstract":"<div><div>The development of high-entropy alloys (HEAs) has marked a paradigm shift in alloy design, moving away from traditional methods that prioritize a dominant base metal enhanced by minor elements. HEAs instead incorporate multiple alloying elements with no single dominant component, broadening the scope of alloy design. This shift has led to the creation of diverse alloys with high entropy (AHEs) families, including high-entropy steels, superalloys, and intermetallics, each highlighting the need to consider additional factors such as stacking fault energy (SFE), lattice misfit, and anti-phase boundary energy (APBE) due to their significant influence on microstructure and performance. Leveraging multiple elements in alloying opens up promising possibilities for developing new alloys from multi-component scrap and electronic waste, reducing reliance on critical metals and emphasizing the need for advanced data generation techniques. With the vast possibilities offered by these multi-component feedstocks, modelling and Artificial Intelligence based tools are essential to efficiently explore and optimize new alloys, supporting sustainable progress in metallurgy. These advancements call for a reimagined alloy design framework, emphasizing robust data acquisition, alternative design parameters, and advanced computational tools over traditional composition-focused methodologies.</div></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"36 ","pages":"Article 101221"},"PeriodicalIF":12.2,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143577864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Voltage-controlled skyrmion manipulation chambers for neuromorphic computing","authors":"Zulfidin Khodzhaev,&nbsp;Jean Anne C. Incorvia","doi":"10.1016/j.cossms.2025.101220","DOIUrl":"10.1016/j.cossms.2025.101220","url":null,"abstract":"<div><div>Voltage-controlled magnetic skyrmion manipulation has emerged as a promising approach for designing high-density and low-power magnetic devices. This paper investigates the potential of magnetic skyrmion manipulation chambers for such devices, focusing on applications in neuromorphic computing systems. Here, a comprehensive analysis of the properties and characteristics of magnetic skyrmions, their manipulation techniques, and their suitability for magnetic devices is presented. The findings suggest that voltage-controlled skyrmion manipulation chambers have significant advantages over conventional technologies for applications such as high-density data storage, low-power spintronic devices, and adaptable neuromorphic computing systems. These advantages stem from the unique properties of skyrmions, including their topological stability, nanoscale dimensions, and efficient manipulation through voltage control. Furthermore, the dynamic rearrangement capabilities of skyrmion manipulation chambers make them ideal for implementing adaptable neuromorphic architectures and low-power skyrmion-based synaptic devices. This study provides a foundation for further research and development in skyrmion manipulation chambers to realize their potential in neuromorphic computing systems.</div></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"35 ","pages":"Article 101220"},"PeriodicalIF":12.2,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning for inverse design of acoustic and elastic metamaterials","authors":"Krupali Donda ,&nbsp;Pankit Brahmkhatri ,&nbsp;Yifan Zhu ,&nbsp;Bishwajit Dey ,&nbsp;Viacheslav Slesarenko","doi":"10.1016/j.cossms.2025.101218","DOIUrl":"10.1016/j.cossms.2025.101218","url":null,"abstract":"<div><div>Recent rapid developments in machine learning (ML) models have revolutionized the generation of images and texts. Simultaneously, generative models are beginning to permeate other fields, where they are being applied to the effective design of various structures. In the field of metamaterials, in particular, machine learning has enabled the creation of sophisticated architectures with unconventional behavior and unique properties. In this article, we review recent advancements in the ML-driven design of a particular class of artificial materials — phononic metamaterials — that are capable of programming the propagation of acoustic and elastic waves. This review includes an in-depth discussion of the challenges and future prospects, aiming to inspire the phononic community to advance this research field collectively. We hope this article will help readers understand the recent developments in generative design and build a solid foundation for addressing specific research problems that could benefit from the application of machine learning models.</div></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"35 ","pages":"Article 101218"},"PeriodicalIF":12.2,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent advances in understanding iron/steel corrosion: Mechanistic insights from molecular simulations","authors":"Lakshitha Jasin Arachchige ,&nbsp;Chunqing Li ,&nbsp;Feng Wang","doi":"10.1016/j.cossms.2025.101216","DOIUrl":"10.1016/j.cossms.2025.101216","url":null,"abstract":"<div><div>Steel structures form the backbone of modern infrastructure, providing strength and durability to buildings, bridges, and other critical constructions. However, iron/steel corrosion is a prevalent issue leading to significant maintenance costs and safety concerns across various industries. Understanding and inhibiting iron/steel corrosion is vital to ensuring the sustainability of these industries. Capturing atomistic scale corrosion mechanisms and interactions using traditional experimental methods is challenging. Recent advances in computational materials chemistry, particularly density functional theory (DFT) and molecular dynamics (MD) simulations have significantly enhanced our understanding of the corrosion mechanism. This review focuses on the latest progresses using DFT and MD simulations to investigate iron/steel corrosion at the atomistic level. We discuss how these methods are employed to understand the fundamental process of oxidation, passivation and depassivation mechanisms, and the role of aggressive agents so that more effective corrosion prevention methods can be developed. This review aims to provide a comprehensive literature study on iron/steel corrosion mechanisms using computational tools and their contribution in understanding and prevention of corrosion.</div></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"35 ","pages":"Article 101216"},"PeriodicalIF":12.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A practical guide to machine learning interatomic potentials – Status and future","authors":"Ryan Jacobs ,&nbsp;Dane Morgan ,&nbsp;Siamak Attarian ,&nbsp;Jun Meng ,&nbsp;Chen Shen ,&nbsp;Zhenghao Wu ,&nbsp;Clare Yijia Xie ,&nbsp;Julia H. Yang ,&nbsp;Nongnuch Artrith ,&nbsp;Ben Blaiszik ,&nbsp;Gerbrand Ceder ,&nbsp;Kamal Choudhary ,&nbsp;Gabor Csanyi ,&nbsp;Ekin Dogus Cubuk ,&nbsp;Bowen Deng ,&nbsp;Ralf Drautz ,&nbsp;Xiang Fu ,&nbsp;Jonathan Godwin ,&nbsp;Vasant Honavar ,&nbsp;Olexandr Isayev ,&nbsp;Boris Kozinsky","doi":"10.1016/j.cossms.2025.101214","DOIUrl":"10.1016/j.cossms.2025.101214","url":null,"abstract":"<div><div>The rapid development and large body of literature on machine learning interatomic potentials (MLIPs) can make it difficult to know how to proceed for researchers who are not experts but wish to use these tools. The spirit of this review is to help such researchers by serving as a practical, accessible guide to the state-of-the-art in MLIPs. This review paper covers a broad range of topics related to MLIPs, including (i) central aspects of how and why MLIPs are enablers of many exciting advancements in molecular modeling, (ii) the main underpinnings of different types of MLIPs, including their basic structure and formalism, (iii) the potentially transformative impact of universal MLIPs for both organic and inorganic systems, including an overview of the most recent advances, capabilities, downsides, and potential applications of this nascent class of MLIPs, (iv) a practical guide for estimating and understanding the execution speed of MLIPs, including guidance for users based on hardware availability, type of MLIP used, and prospective simulation size and time, (v) a manual for what MLIP a user should choose for a given application by considering hardware resources, speed requirements, energy and force accuracy requirements, as well as guidance for choosing pre-trained potentials or fitting a new potential from scratch, (vi) discussion around MLIP infrastructure, including sources of training data, pre-trained potentials, and hardware resources for training, (vii) summary of some key limitations of present MLIPs and current approaches to mitigate such limitations, including methods of including long-range interactions, handling magnetic systems, and treatment of excited states, and finally (viii) we finish with some more speculative thoughts on what the future holds for the development and application of MLIPs over the next 3–10+ years.</div></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"35 ","pages":"Article 101214"},"PeriodicalIF":12.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring photosensitive nanomaterials and optoelectronic synapses for neuromorphic artificial vision","authors":"Hyun-Haeng Lee ,&nbsp;Jun-Seok Ro ,&nbsp;Kwan-Nyeong Kim ,&nbsp;Hea-Lim Park ,&nbsp;Tae-Woo Lee","doi":"10.1016/j.cossms.2025.101215","DOIUrl":"10.1016/j.cossms.2025.101215","url":null,"abstract":"<div><div>Artificial vision systems will be essential in intelligent machine-vision applications such as autonomous vehicles, bionic eyes, and humanoid robot eyes. However, conventional digital electronics in these systems face limitations in system complexity, processing speed, and energy consumption. These challenges have been addressed by biomimetic approaches utilizing optoelectronic synapses inspired by the biological synapses in the eye. Nanomaterials can confine photogenerated charge carriers within nano-sized regions, and thus offer significant potential for optoelectronic synapses to perform in-sensor image-processing tasks, such as classifying static multicolor images and detecting dynamic object movements. We introduce recent developments in optoelectronic synapses, focusing on use of photosensitive nanomaterials. We also explore applications of these synapses in recognizing static and dynamic optical information. Finally, we suggest future directions for research on optoelectronic synapses to implement neuromorphic artificial vision.</div></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"35 ","pages":"Article 101215"},"PeriodicalIF":12.2,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143348423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conductive Hydrogels: Bioelectronics and Environmental Applications","authors":"Seyedeh-Arefeh Safavi-Mirmahalleh ,&nbsp;Mohsen Khodadadi Yazdi ,&nbsp;Mohammad Reza Saeb ,&nbsp;Mehdi Salami-Kalajahi","doi":"10.1016/j.cossms.2024.101213","DOIUrl":"10.1016/j.cossms.2024.101213","url":null,"abstract":"<div><div>Flexible multimodal sensors have garnered continued attention due to their tunable structural performance and sensitivity to electric signals, adaptability to various environments, and outstanding mechanical properties. However, the limited self-healing capabilities, degradation, and reversible self-adhesion of sensors made from rubbers, elastomers, and other polymers have hindered their widespread application. Flexible sensors based on hydrogels, which offer exceptional stretchability, flexibility, and biocompatibility, could provide a solution. However, their reliance on external energy sources limits their potential. Thus, efforts have been made to develop conductive hydrogels by incorporating functional groups, additives, or nanofillers into the hydrogel network, which has led to multifunctional wearable sensing capabilities. This review discusses recent advancements in the use of hydrogels in self-powered sensors, including strain/pressure sensors, electronic skin sensors, pressure/strain sensors, temperature monitoring and humidity monitoring applications. Moreover, it focuses on the mechanisms of energy conversion in self-powered sensors. It also provides a concise overview of the various synthesis methods used in developing conductive hydrogels. The current review also outlines the present challenges, besides suggesting potential pathways ahead for future advancement.</div></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"34 ","pages":"Article 101213"},"PeriodicalIF":12.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimisation and material considerations of piezoelectric implants for cardiac applications","authors":"Yuan Wang,&nbsp;Matthew S. Dargusch","doi":"10.1016/j.cossms.2024.101211","DOIUrl":"10.1016/j.cossms.2024.101211","url":null,"abstract":"<div><div>The capacity of piezoelectric materials for mechanoelectrical transduction has led to a variety of piezoelectric cardiac implants that could revolutionise cardiac-related healthcare delivery. To advance their clinical translation, critical factors including energy output, biocompatibility, biodegradability/durability, and flexibility need to be collectively assessed to ensure successful medical implantation. This review aims to systematically discuss these critical factors, providing insights into corresponding progress and covering relevant mechanisms and strategies in a clinical setting. The concept of additive-free output optimisation has been proposed which focuses on enhancing piezoelectric output based on existing material systems so that biosafety risks and the time-consuming examination processes induced by introducing additional components can be minimised. Critical discussions regarding the biocompatibility and biodegradability of piezoelectric implants were subsequently conducted. This involved reviewing the biocompatibility of material systems associated with piezoelectric implants and introducing biodegradability mechanisms and potential manipulation strategies. The flexibility of implants was also discussed in conjunction with fabrication methods. Current novel piezoelectric cardiac treatments were summarised covering <em>in vivo</em> energy harvesting, hemodynamic sensing, and cardiac tissue regeneration and stimulation. Lastly, challenges and future perspectives were proposed to inspire future work focused on the translation of reliable piezoelectric implants for addressing cardiac diseases.</div></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"34 ","pages":"Article 101211"},"PeriodicalIF":12.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-affinity peptide biomaterials","authors":"Myriel Kim,&nbsp;Rebecca Avrutin,&nbsp;Sean Chryz Iranzo,&nbsp;Honggang Cui","doi":"10.1016/j.cossms.2024.101212","DOIUrl":"10.1016/j.cossms.2024.101212","url":null,"abstract":"<div><div>High-affinity binding is a crucial aspect in the design of advanced biomaterials, enabling the creation of materials that can specifically and effectively interact with target objects such as tissues, cells, or biomolecules, mimicking the sophisticated yet well-controlled interactions found in nature. Peptide-based high-affinity biomaterials have emerged as a promising class due to their versatility in chemical design, simplicity in synthesis and formulation, intrinsic ability to mediate biological communication, and key materials features such as tunable biodegradability and modulable biocompatibility. This Opinion article highlights the critical factors to consider in the development of high-affinity peptide materials, including the selection of appropriate peptide ligands, ensuring conformational stability, and optimizing ligand density and conjugation strategies. It also explores how these design considerations have been successfully employed in various applications, including regenerative medicine, drug delivery, and molecular purification.</div></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"34 ","pages":"Article 101212"},"PeriodicalIF":12.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}