Results 71 to 80 of about 12,481 (260)

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source

Molecularly Engineered Wing‐Shaped Azobenzene Memristors for Logic‐in‐Memory and Edge Visual Intelligence

Advanced Science, EarlyView.
Rational engineering of terminal substituents in symmetric azobenzene‐based molecules enables precise control over conformationally coupled charge‐transfer processes. This design yields tunable nonvolatile resistive memory behaviors, ranging from write‐once‐read‐many‐times (WORM) to rewritable switching.
Yanze Liu, Tao Han, Jiahui Ding, Hong Lian, Lingling Yao, Zhaoxin Xu, Xingyu Zhang, Shuanglong Wang, Jiangnan Xia, Tianchi Zhang, Weiwei Kang, Qingchen Dong   +11 more
wiley   +1 more source

Nanoscale Optical Inhomogeneities From Compositional Segregation Within Individual GaN‐on‐Si Quantum Wells

Advanced Science, EarlyView.
This work visualizes local variations in luminescence and relates them to nanoscale chemical inhomogeneities in single InxGa1−xN quantum wells. We demonstrate that the elemental segregation is only inherent to quantum wells with high indium content. Density functional theory shows this to be the result of strain‐induced phase stabilization, explaining ...
Jing‐Yang Chung, Tara P. Mishra, Zackaria Mahfoud, Thomas E. Gage, Jianguo Wen, Katherine P. Rice, Isabelle Martin, Li Zhang, Govindo J. Syaranamual, Stephen J. Pennycook, Silvija Gradečak, Pieremanuele Canepa, Michel Bosman   +12 more
wiley   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Spatially Organized Human Ovarian Spheroids Instruct Endometrial Morphogenesis

Advanced Science, EarlyView.
A spatially organized human follicle‐like spheroid (SPHEGaT) composed of granulosa cells (GCs) and stromal‐derived theca‐like cells (TLCs) establishes sustained steroidogenesis in vitro. When co‐cultured with human endometrial organoids (EMOs), estradiol (E2) and progesterone (P4) exchange induces secretory/progesterone‐responsive differentiation ...
Maria João Sousa, Silke De Vriendt, Lixian Liu, Thalles Fernando Rocha Ruiz, Hugo Vankelecom, Christiani Andrade Amorim   +5 more
wiley   +1 more source

Internship at Hull and Hull LLP

, 2020
Over the summer of 2020 I completed a remote internship at Hull & Hull LLP, an estates law firm in Toronto, for the SASAH experiential learning course. Hull & Hull handles estates and trusts litigation. I worked on digitizing charts for a passing of accounts (which is a court audit of a fiduciary’s accounting) for which there have been a considerable ...
openaire   +1 more source

Enhanced Ionic Conductivity at the Solid Electrolyte Interphase of Oxygen‐Doped Li6PS5Cl

Advanced Science, EarlyView.
Machine‐learned molecular dynamics and machine‐learning‐based phase identification reveal the kinetically formed SEI at buried Li | Li6PS5Cl interfaces. The SEI is dominated by Li2S‐based anion‐substituted phases, while oxygen doping enhances SEI ionic conductivity.
Sojeong Yang, Sungwoo Kang, Atefeh Yadegarifard, Hyun‐Jae Lee, Nongnuch Artrith, Jung‐Hoon Lee, Byungju Lee   +6 more
wiley   +1 more source

Data‐Driven Discovery of Unconventional Antiferromagnets

Advanced Science, EarlyView.
A high‐throughput workflow that combines the physics‐informed pre‐screening, high‐throughput exchange calculations, Luttinger‐Tisza analysis and symmetry classification is established for accurate identification of unconventional antiferromagnets from the broad structural database.
Qirui Cui, Chenxu Liu, Anna Delin, Kaiyou Wang   +3 more
wiley   +1 more source

Intake and productive performance of lambs of races Texel and Ideal, in feedlot diets containing different levels of soybean hulls

Semina: Ciências Agrárias, 2015
This experiment, conducted in laboratory of sheep-raising of the Universidade Federal de Santa Maria, aimed to evaluate the effect of increasing levels of substitution of sorghum silage by soybean hulls on nutrient intake, weight gain and carcass traits ...
Sérgio Carvalho , Felipe Dotto Dias , Cléber Cassol Pires , Tatiana Pfüller Wommer , Rafael Sanches Venturini, Mônica Feksa Frasson , Verônica Milanesi Pilecco , Anderson Bortoluzi Moro , Danielle Dias Brutti   +8 more
doaj   +1 more source

ReLU Hull Approximation

Proceedings of the ACM on Programming Languages
Convex hulls are commonly used to tackle the non-linearity of activation functions in the verification of neural networks. Computing the exact convex hull is a costly task though. In this work, we propose a fast and precise approach to over-approximating the convex hull of the ReLU function (referred to as the ReLU hull
Zhongkui Ma, Jiaying Li 0001, Guangdong Bai   +2 more
openaire   +4 more sources