Results 141 to 150 of about 151,244 (206)

Addressing general measurements in quantum Monte Carlo. [PDF]

Nat Commun
Wang Z, Liu Z, Mao BB, Wang Z, Yan Z.
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Interactions of Cyclic Peptides Ribifolin and Gramicidin S with Montmorillonite Surface by Molecular Modeling. [PDF]

ACS Omega
Sousa LHN, Sainz-Díaz CI, Viseras C, Araújo RM.   +3 more
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Tunable Charge Transport Properties Through Precise π-Stacking Modulation in Isostructural Porous Molecular Conductors. [PDF]

Angew Chem Int Ed Engl
Qu L, Iguchi H, Ueno K, Takaishi S, Yamashita M, Leong CF, D'Alessandro DM, Tsumuraya T, Matsuda W, Seki S, Matsuda R.   +10 more
europepmc   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

3D electron diffraction-the missing slice completing nanoscale analysis of organic solar cells in TEM. [PDF]

Nat Commun
Kraus I, Wu M, Rechberger S, Will J, Maiti S, Dengel K, Kuhlmann A, Huck M, Lüer L, Bertram F, Steinrück HG, Unruh T, Brabec CJ, Spiecker E.   +13 more
europepmc   +1 more source

Decoupling Chemical and Mechanical Contributions to Capacity Fading in Ni‐Rich Cathodes for Sulfide‐Based All‐Solid‐State Batteries

Advanced Energy Materials, EarlyView.
Ni‐rich cathodes in sulfide‐based ASSBs undergo intertwined (electro)chemical and mechanical degradation. Here, a new diagnostic framework is presented to decouple each contribution by partitioning capacity fading into charge and discharge fading.
Jangwhan Seok, Chanyou Chung, Hyunbeom Lee, Subin Ahn, Seongeun Lee, Sangbin Park, Sunhyun Hwang, Jaeyoung Kim, Jeonghyun Seo, Sungwoo Noh, Juyeong Seong, Sangheon Lee, Won‐Sub Yoon   +12 more
wiley   +1 more source

Mechanobiologically-optimized non-resorbable artificial bone for patient-matched scaffold-guided bone regeneration. [PDF]

Nat Commun
Clark JR, Al Maruf DSA, Tomaskovic-Crook E, Cheng K, Lewin WT, Xin H, Wan B, Ren J, Wu C, Kruse HV, Lawrence DK, Wise I, Gupta A, Woodruff MA, Rad MA, Leinkram D, Manzie T, Parthasarthi K, Wykes J, Low TH, Howes D, Froggatt C, Gupta R, Wallace G, Li Q, McKenzie DR, Crook JM.   +26 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source