Results 161 to 170 of about 13,286,610 (209)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Variable high-contrast all-optical self-switching of femtosecond solitonic pulses in multi-dual-core optical fiber with distributed optical asymmetry. [PDF]

Opt Quantum Electron
Winkowski M, Longobucco M, Chovan J, Pysz D, Buczynski R, Bugár I.   +5 more
europepmc   +1 more source

Phase‐Pure and Size‐Tunable Tin Halide Perovskite Quantum Dots

Advanced Materials, EarlyView.
A trioctylphosphine oxide modulated protocol allows for the synthesis and study of the optical properties of a broad library of tin halide perovskite quantum dots across multiple A‐ and X‐site compositions with precise size tuning while eliminating unwanted 2D phases.
Ole F. Dressler, Benjamin Aymoz, Sebastian Sabisch, Stefanie Frick, Sebastian Siol, Dmitry N. Dirin, Simon C. Boehme, Maksym V. Kovalenko   +7 more
wiley   +1 more source

Exact noise influenced soliton solutions of a high-order stochastic nonlinear Schrödinger equation with weak nonlocal nonlinearity in a non-Kerr medium. [PDF]

Sci Rep
Ali MH, Ahmed HM, Alkhatib S, Ramadan ME, Samir I, Ahmed KK.   +5 more
europepmc   +1 more source

Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond

Advanced Materials, EarlyView.
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang, Avirup Sardar, Weijie Ji, Zhongyu Liu, Rongchao Jin   +4 more
wiley   +1 more source

A seismic reservoir permeability prediction approach based on gaussian process machine learning. [PDF]

Sci Rep
Gui J, Gao J, Li S, Liu B, Guo X, Pan H.
europepmc   +1 more source

Trions as Fundamental Species in Chemically Doped Polymer Semiconductors

Advanced Materials, EarlyView.
This work shows that exciton–charge carrier coupling in doped polymer semiconductors gives rise to multi‐particle states, including trions—quasiparticles consisting of two holes and one electron under p‐doping—and bound exciton‐hole pairs, as identified through spectroscopic and theoretical analysis.
Hongmo Li, Henry J. Kantrow, David A. Valverde‐Chávez, Meghan McNeil, Arianna Magni, Mohammad Balooch Qarai, Jude Kpare, Jaden Cramlet, Qiao He, Félix Thouin, Zhihao Feng, Yadong Zhang, Andrew Comstock, Stephen Barlow, Jason Azoulay, Seung Soon Jang, Renaud Demadrille, Martin Heeney, Seth Marder, Nicholas J. Hestand, Alberto Salleo, Frank C. Spano, Carlos Silva‐Acuña, Natalie Stingelin   +23 more
wiley   +1 more source

VELYS robotic-assisted solution achieves more accurate bone cutting and neutral ground mechanical axis compared with an accelerometer-based portable navigation system in ground kinematically aligned total knee arthroplasty. [PDF]

Knee Surg Relat Res
Matsumoto T, Tsubosaka M, Nakano N, Kamenaga T, Kuroda Y, Hayashi S, Kuroda R.   +6 more
europepmc   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Water resources sustainability assessment through uncertain supply-demand modeling under scarcity conditions. [PDF]

Sci Rep
Ebrahimi Sarindizaj E.
europepmc   +1 more source