Results 171 to 180 of about 8,916 (304)

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

Designing a virtual tour to Bulgaria

Скриннік О. П. Розробка віртуального туру до Болгарії: бакалаврська робота / О. П. Скриннік – Запоріжжя: НУ «Запорізька політехніка», 2024. – 78 с.UK: У кваліфікаційній роботі узагальнено теоретичні засади розвитку віртуального туру, досліджено ...
Скриннік, Олександра Петрівна, Skrynnik, Oleksandra P.   +1 more
core  

VIRTUAL TOUR PADA PT. GALUH CITARUM TECHNOMART

, 2015
VIRTUAL TOUR PADA PT. GALUH CITARUM TECHNOMART
DWI SANTOSO PUTRA, PRAMUDITO, Yesmaya, S.Kom., M.T.I., Violitta, SUPRIYANTO, AGUS, NUGRAHA, ANDRE   +3 more
core  

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

VIRTUAL LABORATORY TOUR DENGAN TEKNOLOGI DEKSTOP VIRTUAL REALITY

, 2016
Kemajuan teknologi dan informasi saat ini sangatlah pesat. Perkembangan itu juga diiringi dengan semakin cepatnya ilmu pengetahuan dan teknologi, terutama pada bidang teknologi komputer.
Sulthonul Amin , 5302411161
core  

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Usability, acceptability, and tolerability of a virtual reality patient tour compared to an educational video in cardiac surgery patients - A feasibility study. [PDF]

PEC Innov
Cardol CM, de Heer LM, Marsman M, van Rijn MM, Weldam SWM.   +4 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Efficacy of virtual reality interventions in reducing preoperative anxiety in pediatric patients undergoing general anesthesia: a systematic review and meta-analysis. [PDF]

PeerJ
Song J, Tu Y, Chen Q, Bao R, Ye X.
europepmc   +1 more source

Virtual Tour

netbib, 2003
openaire   +2 more sources