Results 51 to 60 of about 6,914 (235)
ABSTRACT To confront extreme space environments, a combination of inorganic and organic coatings can provide a pathway for offering highly durable radiation resistance and anti‐friction simultaneously. Herein, a strong interfacial 3D hydrogen‐bonding network is designed to create robust hexagonal boron nitride (h‐BN) based polymer coatings with ...
Zhuoyi Li +7 more
wiley +1 more source
Safe-and-sustainable-by-design redox active molecules for energy storage applications
Background Sustainability aspects have become a main criterion for design next to performance of material and product. Particularly the emerging field of energy storage and conversion is striving towards more sustainable solutions.
Clemens Wolf +12 more
doaj +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
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 +6 more
wiley +1 more source
BAYESIAN NEURAL NETWORK RAINFALL MODELLING: A CASE STUDY IN EAST JAVA
Rainfall is an important parameter in meteorology and hydrology, and it measures the amount of rain that falls from the atmosphere to the ground surface in liquid form.
Suci Astutik +7 more
doaj +1 more source
PELAKSANAAN REHABILITASI DI BNN KOTA BENGKULU SELAMA PANDEMI COVID-19 [PDF]
Pandemi Covid-19 telah berlangsung selama setahun lebih sejak kasus pertama Covid-19 diumumkan di Indonesia yaitu pada bulan Maret tahun 2020. Pandemi ini berdampak pada perubahan diberbagai sektor dalam kehidupan dan aktifitas masyarakat.
Sri, Handayani Hanum +2 more
core
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
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 +4 more
wiley +1 more source
PENGARUH BUDAYA ORGANISASI DAN KOMITMEN ORGANISASI TERHADAP KINERJA KARYAWAN DI BADAN NARKOTIKA NASIONAL (BNN) KOTA KEDIRI [PDF]
The purpose of this research was to find out, (1) The effect of organizational culture toward employees performance at BNN Kota Kediri, (2) The effect of organizational commitment toward employees performance at BNN Kota Kediri, (3) The effect of ...
Purnamasari, Okta
core +2 more sources
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Anti-narcotics prevention measures, such as urine sampling of suspect offenders, citizen reporting of suspect narcotic activities, public education, or legal consultations used to be performed at provincial and city levels.
Komang Ari Widani +5 more
doaj +1 more source

