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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Postoperative complication management: How do large language models measure up to human expertise? [PDF]
Schwarzkopf SC+5 more
europepmc +1 more source
Phase diagrams of transition‐metal di‐pnictides have been efficiently and quickly explored by combinatorial deposition of transition‐metal films and subsequent antimonization enabling the study of compounds with volatile elements. In (Fe,Ni)Sb2 and the (Fe,Cr)Sb2 substitution series, phase separation has been evidenced between class‐A and B marcasites ...
Martin Kostka+8 more
wiley +1 more source
Next generation performance status: digital health technologies across the lung cancer continuum. [PDF]
Scarpa J+4 more
europepmc +1 more source
Periodic submicron features are fabricated on 304 stainless steel using single and double femtosecond laser pulses. By adjusting polarization, fluence, and inter‐pulse delay, 1D and 2D nanostructures are formed. Enhanced hydrophobicity and dense surface‐enhanced Raman spectroscopy hotspots enable analyte detection down to 10−10 M with good ...
Balaji Baskar+3 more
wiley +1 more source
Cerebrovascular disease and chronic obstructive pulmonary disease increase risk of complications with robotic partial nephrectomy [PDF]
Bauman, Tyler M+4 more
core +3 more sources
Evaluation of albumin-based inflammatory markers as diagnostic tools in HELLP syndrome. [PDF]
Kından A+4 more
europepmc +1 more source