Results 131 to 140 of about 1,767,928 (381)

California’s Flawed Surface Water Rights [PDF]

, 2015
California sprang into existence following the discovery of gold in 1848. Aside from domestic use, the first major use of water in California was in mining.
Dyckman, Caitlin, Hanemann, Michael, Park, Damian   +2 more
core   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Deforestation and Forest Degradation Due to Gold Mining in the Peruvian Amazon: A 34-Year Perspective

Remote Sensing, 2018
While deforestation rates decline globally they are rising in the Western Amazon. Artisanal-scale gold mining (ASGM) is a large cause of this deforestation and brings with it extensive environmental, social, governance, and public health impacts ...
Jorge Caballero Espejo, Max Messinger, Francisco Román-Dañobeytia, C. Ascorra, Luis E. Fernandez, Miles Silman   +5 more
semanticscholar   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source

Technological Mineralogical Analysis and Flotation Test of a Refractory Lead-zinc Ore in Hebei

Kuangchan zonghe liyong
This is an article in the field of mineral processing engineering. The main valuable elements in a lead-zinc mine in Hebei are lead and zinc, with grades of 1.07% and 2.08%, respectively.
Guanglin QIN, Guangsheng LI, Xingfu ZHU, Qiang JI, Congquan YU   +4 more
doaj   +1 more source

International Joint Ventures in Industrial Gold Mining, Corporate Social Responsibility, and Harm-Production in Sudan [PDF]

, 2018
Enrico Ille
openalex   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Study on the Process Mineralogy for the Flotation Tailings of a Gold Mine in Shandong Province

Kuangchan zonghe liyong
This is anarticle in the field of process mineralogy. The grade of gold and sulfur in a gold mine from Shandong Province was 2.0 g/t and 1.56% respectively, which was a typical gold bearing ore with low sulfur.
Kai WU, Yingqiang MA, Hailong WANG, Hongliang DONG, Ruihui REN, Shuxin WANG   +5 more
doaj   +1 more source

Conference on Alaskan placer mining, focus: gold recovery systems [PDF]

, 1979
Alaska Miners' Association and the School of Mineral Industry, University of Alaska, Fairbanks conference proceedings of the Alaskan Placer Mining conference on Gold Recovery ...
Beistline, E.H., Cook, D.J., Thomas, B.I., Wolff, E.N.   +3 more
core  

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source