Theoretical Advances in Composite Energy Methods, Chemical Deep Learning, and Transition Metal Catalysis
Theoretical Advances in Composite Energy Methods, Chemical Deep Learning, and Transition Metal Catalysis
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798494496775
- DDC
- 541
- 서명/저자
- Theoretical Advances in Composite Energy Methods, Chemical Deep Learning, and Transition Metal Catalysis
- 발행사항
- [Sl] : Indiana University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 344 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
- 주기사항
- Advisor: Raghavachari, Krishnan.
- 학위논문주기
- Thesis (Ph.D.)--Indiana University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Physical chemistry
- 키워드
- Machine learning
- 기타저자
- Indiana University Chemistry
- 기본자료저록
- Dissertations Abstracts International. 83-05B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
